Prediction of Breast Cancer Distant Metastasis by Artificial Intelligence Methods from an Epidemiological Perspective

AKBULUT A. S., YAĞIN F. H., ÇOLAK C.

ISTANBUL MEDICAL JOURNAL, cilt.23, sa.3, ss.210-215, 2022 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 23 Sayı: 3
  • Basım Tarihi: 2022
  • Doi Numarası: 10.4274/imj.galenos.2022.62443
  • Dergi Adı: ISTANBUL MEDICAL JOURNAL
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.210-215
  • Anahtar Kelimeler: Breast cancer, distant metastasis, genetic risk factors, genomics, artificial intelligence, RISK-FACTORS, EXPRESSION, DNA, MUTATIONS, POLYMORPHISMS, CHEMOTHERAPY, ASSOCIATION, VARIANTS
  • İnönü Üniversitesi Adresli: Evet

Özet

Introduction: Despite significant advances in breast cancer (BC) management, the prognosis for most patients with distant metastasis remains poor. We predicted distant metastasis in BC patients with artificial intelligence (AI) methods based on genomic biomarkers.